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This study aims to establish the online teaching behaviour of university lecturers as well as examine issues and challenges for online teaching in universities in Zimbabwe during the COVID-19 era and beyond.

The study assumed a quantitative approach that employed a structured questionnaire for data collection. Structural equation modelling using AMOS version 22 and independent samples t-test were used for data analysis. Confirmatory factor analysis was used for data purification.

The results of the study showed that organisational factors, technological factors, pedagogical factors, student factors and the gender of lecturers have a significant influence on the behavioural intentions of lecturers to teach online. The results also showed that the behavioural intentions of lecturers to teach online has a significant influence on the actual online teaching behaviour of the lecturers. The results also showed that lecturers mostly used the WhatsApp platform for teaching. Issues and challenges affecting the online teaching behaviour of lecturers in universities in Zimbabwe were also identified.

The results of this study have implications for policy and practice with regard to online teaching and learning during periods of pandemics and beyond.

The results showed that for effective teaching to be done in universities, universities should not continue focusing on single platforms such as blackboard, Moodle and others, but should allow for a multimedia approach that factors in platforms such as WhatsApp, Google Classroom and others. This will ensure that even universities with limited technology infrastructure will be able to have online teaching occurring.

The study demonstrated the influence of gender in online teaching by showing that there are gender differences in the way university lecturers conduct online teaching. This also has implication on teaching and policy as these results demonstrate a need for universities to come up with strategies and policies that ensure despite gender differences, university lecturers should be able to effective teach online.

While the unified theory of acceptance and use of technology has been widely used in research, the current study represents the first opportunity that the theory has been used to establish the online teaching behaviour of university lecturers in the context of Zimbabwe.

Creating suitable learning conditions in university classrooms continues to be a topical issue in higher education. The above means that a continued search for innovative teaching and learning strategies in universities remains a priority issue. The study therefore investigated conditions that facilitate the effective implementation of cooperative learning (CL) as well as how CL influences the academic performance of students in universities in Zimbabwe.

The research adopted a quantitative research approach located in the descriptive research design. A sample of 341 undergraduate students selected using a simple random sampling strategy from a sample frame of 701 undergraduate students participated in the study. The study first used a pre-test and later, a post-test to determine the initial and end of semester (EOS) academic performance levels of students, respectively, on a Calculus 1 course. A self-constructed structured questionnaire was also used for data collection on the views of students towards the use of CL with particular reference to the 5 dimensions of positive interdependence (PDI), promotive interaction (PI), individual and group accountability (IGA), social and interpersonal skills (SS) and group processing (GP). The questionnaire was validated using confirmatory factor analysis. Structural equation modelling was used to test proposed relationships. A total of 341 questionnaires were administered through an email survey. Of the total, 149 completed questionnaires were received from the students, giving a return rate of 43.7%.

The results showed that positive interdependence, promotive interaction, social and interpersonal skills, individual and group accountability as well as group processing were important antecedents to the effective implementation of CL in universities. The results further showed that CL plays a significant role in improving the academic performance of university students; hence, academic performance was viewed as a significant consequence of CL.

This is the first study on the application of CL to enhance the academic performance of university students in the context of Zimbabwe. As a result, caution should be exercised when generalising the results as more studies to either confirm or disconfirm these results in the context of Zimbabwe may still be required.

These results have implications on policy and practice with regards to active teaching strategies in universities. With regards to practice, the results demonstrated that the use of group activities that allow students to share knowledge and support each other while the teacher plays a facilitating role is important for enhancing students' academic performance. With regards to policy, the results showed that universities can enhance the academic performance of students if policies that promote student-centered teaching and learning approaches to ensure that teaching in universities is more student-led than lecturer-led are developed.

While many studies have been conducted in other contexts, to establish the influence of CL on the academic performance of university students, there is no known study on the influence of CL that has been conducted in the context of Zimbabwean universities. The results of this study therefore are an eye opener on the role of CL in enhancing the academic performance of students in Zimbabwean universities.

The purpose of this paper is to investigate challenges faced by and opportunities open to women entrepreneurs in Botswana and how entrepreneurship education can boost their knowledge and skills of doing business profitably and contribute to women empowerment.

In total, 400 women entrepreneurs of different ages, educational levels and from trades and different geographical locations were selected using a stratified random sampling procedure to participate in the study from ten towns and cities in the country. A structured questionnaire that used a five-point Likert scale was used for data collection. One-way ANOVA, regression analysis and descriptive statistics were used as tools for data analysis.

Findings showed that women entrepreneurs faced a complex web of challenges among which were access to finance, lack of training leading to lack of technical skills, lack of knowledge of sources of financing and technical support, high competition in the market, marginalisation of women and lack of knowledge of marketing strategies. The key findings were that while women entrepreneurs faced a number of challenges, the legal and regulatory environment in Botswana was highly conducive and supportive of women entrepreneurship and also that customised entrepreneurship education and training offered opportunities for women entrepreneurs to enhance their knowledge and technical skills.

The study only used a quantitative approach to collect data. It could have perhaps been more enriching if a mixed-methods approach were used to help probe the participants more. The study also only used women entrepreneurs in cities and towns. Perhaps, it could have also got some women entrepreneurs from rural areas to hear what they say. These limitations will be addressed in future studies.

Practical implications of the study are that women entrepreneurs need more training in business entrepreneurship for them to gain more knowledge and skills; finance houses become more accommodating to women entrepreneurship they could help in the empowerment of these people as they show potential in their businesses; and if more pro-women entrepreneurship policies are developed, they could enhance the activities of women entrepreneurs.

Women can perform as much as men in business if given the necessary support.

This study contributes to the body of knowledge on women entrepreneurship as it helped expose challenges women entrepreneurs face as well as opportunities for them to take advantage of and improve their business operations.

The study investigated factors influencing how the curriculum is implemented in accredited private higher education institutions (PHEIs) in Botswana.

The study investigated factors influencing curriculum implementation in accredited private universities (PUs) operating in a highly regulated higher education environment in Botswana. A total of six PUs which have been operating in Botswana for at least five years were purposively selected for the study. The mixed methods approach was used in the study. From the six PUs, a sample of 306 lecturers was selected from a population of 1,500 lecturers using stratified random sampling strategy for the quantitative phase of the study, and 25 academic middle managers (AMMs) were also selected from a population of 273 academic middle managers using purposive sampling strategy for the qualitative phase. A structured questionnaire and a semi-structured interview guide were used for data collection. Principal component analysis (PCA) was performed to test the reliability and validity of the measurements. Descriptive statistics, chi-square, one-way ANOVA and regression analysis were used for quantitative data analysis, while a meta-aggregative approach was used for analysing qualitative data. Results showed that educational level, characteristics of the curriculum, of the institution and of the external environment had a significant influence on how curriculum is implemented in PUs in Botswana, while gender, age and years of teaching experience did not have a significant influence. These results have implications on educational policy formulation by regulatory authorities as well as practice in universities for the purpose of enhancing curriculum implementation.

Results showed that educational level, characteristics of the curriculum, of the institution and of the external environment had a significant influence on how the curriculum is implemented in PUs in Botswana, while gender, age and years of teaching experience did not have a significant influence.

Data were collected from lecturers in accredited private higher education institutions in Botswana only which limited the scope of insight into challenges facing accredited private institutions. Future research needs to expand the scope and consider private both private and public higher education institutions in Botswana and beyond so that more insight on the factors affecting curriculum implementation in higher education institutions can be established and appropriate policies and processes could be put in place for effective curriculum implementation.

The study provides insight into challenges affecting curriculum implementation in higher education institutions and how regulatory authorities, institutional authorities and lecturers can contribute to effective curriculum implementation in these institutions.

The study offers an opportunity for higher education institutions to implement the curriculum in a manner that satisfies its primary customers who are the students by taking cognizance of and satisfying factors that contribute to effective curriculum implementation.

There is no study known to the researcher that has been conducted on factors affecting curriculum implementation in accredited private universities in Botswana. This study, therefore, is an eye-opener on such factors and what actions regulatory authorities, institutional management and lecturers should take to promote effective implementation of the curriculum in higher education institutions in Botswana.

The study applied the Unified Theory of Technology Acceptance and Use Theory 2 (UTAUT2) to predict blended learning acceptance by students in universities in Zimbabwe. Blended learning is a heterogeneous mode of teaching and learning that combines face-to-face (F2F) and online modes. Owing to advances in technology, and recently, the advent of pandemics, such as COVID-19, the need for multimodal teaching approaches, such as blended learning, to enhance access to education in universities has become very important.

A quantitative approach that used a structured questionnaire for data collection from a sample of 432 postgraduate students was used. Data validation was done using confirmatory factor analysis (CFA). The structural equation modelling technique was used for data analysis.

Results showed that out of the seven factors of the UTAUT2, the factors such as performance expectancy, effort expectancy, social influences, facilitating conditions and hedonic motivation significantly and positively influenced the behavioural intentions of students in universities to accept blended learning. On the other hand, habit and price value did not significantly influence university students' behavioural intentions to accept the bended learning mode. It was further shown in the study that behavioural intentions significantly influenced the acceptance of blended learning by university students. In light of the above results, it was concluded that the UTAUT2 could be used to predict the acceptance of blended learning by university students.

The main study limitation was that it was only carried out at universities that had information and communication technology (ICT) infrastructure challenges owing to the fact that the economic situation in Zimbabwe is depressed. Limited ICT infrastructure in the universities might have had some impact on the nature of behavioural intentions of students to accept blended learning as a learning mode. Further research could be carried out in countries with better economies that are able to fund ICT infrastructures of their universities and to establish whether the results of the current study could either be confirmed, disconfirmed or enriched.

The paper suggests that universities need to increase investment in ICT infrastructure as well as in capacitating students with the necessary ICT skills for the effective use of institutional ICT when learning using the blended learning mode. Without adequate and appropriate ICT infrastructure as well as necessary ICT skills, students may develop low motivation levels and negative attitudes towards blended learning, which may eventually may affect their acceptance of the learning mode.

There is no known study that has been conducted using the UTAUT2 to establish antecedents of behavioural intentions of students to accept blended learning in the context of Zimbabwean universities. This study therefore opens new ground on factors influencing the acceptance of blended learning in the context of Zimbabwean universities. Also, the results showed that habit and price value do not significantly contribute to the behavioural intentions of university students to accept blended learning, which is not consistent with findings of past studies. This inconsistency opens new opportunities for further studies on the conditions under which these two factors can be used to significantly contribute to the development of behavioural intentions of students to accept blended learning.